Thermodynamics inversion for mineral systems. This project aims to provide a newly developed science approach to the Australian Lithospheric Architecture Magnetotelluric Project (AusLAMP). AusLAMP provides unparalleled geophysical information aimed at unravelling the tectonic history of the Australian continent and its mineral potential. The project will use thermodynamically based geodynamic simulators to jointly analyse and quantify intraplate deformation. This will illuminate the cause of dri ....Thermodynamics inversion for mineral systems. This project aims to provide a newly developed science approach to the Australian Lithospheric Architecture Magnetotelluric Project (AusLAMP). AusLAMP provides unparalleled geophysical information aimed at unravelling the tectonic history of the Australian continent and its mineral potential. The project will use thermodynamically based geodynamic simulators to jointly analyse and quantify intraplate deformation. This will illuminate the cause of driving fluid flow thorough the lithosphere, mineralisation phenomena, their datasets and geometries, and dynamic aspects of the processes driving mineral systems.Read moreRead less
Geomagnetic induced currents in the Australian electricity supply network. This project will develop measures to protect the Australian electricity supply network from adverse effects of enhanced solar activity. This is essential for risk assessment and long term asset management of the Australian electricity network.
Practical application of gene silencing: is delivery of long double stranded ribonucleic acid (dsRNA) by plant cells efficient in conferring host resistance to parasitic nematodes? Nematode that attack plants cause $120 billion of crop losses worldwide. Chemicals used for their control are being phased out because of environmental concerns, and natural resistance is limited. The aim of this project is to use Australian IP to develop a new form of resistance to nematodes based on knowledge of th ....Practical application of gene silencing: is delivery of long double stranded ribonucleic acid (dsRNA) by plant cells efficient in conferring host resistance to parasitic nematodes? Nematode that attack plants cause $120 billion of crop losses worldwide. Chemicals used for their control are being phased out because of environmental concerns, and natural resistance is limited. The aim of this project is to use Australian IP to develop a new form of resistance to nematodes based on knowledge of the host-pathogen interactions. A successful outcome could contribute an additional 5-20% increase in crop yields (depending on the crop) through inherent resistance of crops to nematode pests. This would benefit rural communities and the national economy, and could also generate international royalties.Read moreRead less
Accelerated Domestication of Australian Grass Species Using Molecular Tools. The development of new food crops from the Australian flora will provide opportunities for new sustainable agricultural and food industries in Australia. The project targets the accelerated domestication of native species with lower tillage and fertiliser requirements, better water use efficiencies and increased salt, shade, frost and/or drought tolerances than the current introduced cereal and fodder crops. This will ....Accelerated Domestication of Australian Grass Species Using Molecular Tools. The development of new food crops from the Australian flora will provide opportunities for new sustainable agricultural and food industries in Australia. The project targets the accelerated domestication of native species with lower tillage and fertiliser requirements, better water use efficiencies and increased salt, shade, frost and/or drought tolerances than the current introduced cereal and fodder crops. This will directly benefit regional Australia. The technologies developed in the project will have wide application to accelerated domestication of other Australian plants (for agriculture and food production in Australia and internationally) and to plants found in other parts of the world.Read moreRead less
Improved Indian Mustard for sustainable biodiesel production. There is an urgent need to reduce Australia's dependency on fossil fuels and to improve the sustainability of the Australian farming sector. The on-farm production of biodiesel will reduce farm input costs, reduce farmer dependency on fluctuations in fossil fuel costs and reduce greenhouse gas emissions. Indian mustard is drought tolerant and produces inedible oil suitable for biodiesel production. The genetic improvement of Indian mu ....Improved Indian Mustard for sustainable biodiesel production. There is an urgent need to reduce Australia's dependency on fossil fuels and to improve the sustainability of the Australian farming sector. The on-farm production of biodiesel will reduce farm input costs, reduce farmer dependency on fluctuations in fossil fuel costs and reduce greenhouse gas emissions. Indian mustard is drought tolerant and produces inedible oil suitable for biodiesel production. The genetic improvement of Indian mustard will provide farmers with a viable crop for biodiesel production and its bio-fumigation properties make it an effective addition to the crop rotation. Useful by-products include a natural insecticide and, once the glucosinolates are removed, meal suitable for animal feed. Read moreRead less
Visual methods for advanced automation of underwater manipulation. This project will increase the autonomy of underwater robotic systems engaged in intervention and inspection tasks. Such activities are essential for the operation of subsea robotic systems used in offshore industries, scientific exploration and defence. Our approach will improve perception and situational awareness through the principled fusion of multiple navigation and camera sensors. We will use this improved scene understand ....Visual methods for advanced automation of underwater manipulation. This project will increase the autonomy of underwater robotic systems engaged in intervention and inspection tasks. Such activities are essential for the operation of subsea robotic systems used in offshore industries, scientific exploration and defence. Our approach will improve perception and situational awareness through the principled fusion of multiple navigation and camera sensors. We will use this improved scene understanding to effectively plan the motion of vehicles and manipulators through larger and more complex workspaces, enabling semi-supervised and autonomous task execution. Our project will demonstrate these capabilities in real-world deployments relevant to industry and marine science.Read moreRead less
Improved seasonal rainfall prediction for grain growers using farm level data and novel modelling. Successful grain production, a key export commodity for Australia, depends heavily on reliable seasonal forecasts. However, the highly variable climate means that for Australia’s 25,000 grain growers current forecasts lack detail in space and time. Using a combination of fuzzy classification and artificial neural networks, this project will develop a locally detailed continuously updating data-driv ....Improved seasonal rainfall prediction for grain growers using farm level data and novel modelling. Successful grain production, a key export commodity for Australia, depends heavily on reliable seasonal forecasts. However, the highly variable climate means that for Australia’s 25,000 grain growers current forecasts lack detail in space and time. Using a combination of fuzzy classification and artificial neural networks, this project will develop a locally detailed continuously updating data-driven seasonal forecast system using high density climate data from the 17,000 Grain Growers Association members and climate drivers such as sea surface temperature from the Bureau of Meteorology. After validation against observed data, the forecasts will be delivered via a web-based portal to users.Read moreRead less
Self-supervised feature learning for rapid processing of marine imagery. Fast and reliable quantitative estimates of marine environmental health are needed for scientific studies, design and management of protected areas, and regulatory compliance of industrial activity in the ocean. Australia is collecting seafloor images at increasing rates but expert annotations are not keeping up, meaning that typical machine learning approaches struggle. This project will develop self-supervised techniques ....Self-supervised feature learning for rapid processing of marine imagery. Fast and reliable quantitative estimates of marine environmental health are needed for scientific studies, design and management of protected areas, and regulatory compliance of industrial activity in the ocean. Australia is collecting seafloor images at increasing rates but expert annotations are not keeping up, meaning that typical machine learning approaches struggle. This project will develop self-supervised techniques that use large amounts of unlabeled data to enhance performance. Our design takes advantage of additional information available for marine imagery such as geolocation and remote sensing context. We will explore how these representations can guide additional sampling and improve performance in classification tasks.Read moreRead less
Autonomous tracking and predictive modelling of Australian plague locust migratory band movement. We will use advances in robotics, engineering, mathematics and biology to develop a new computer model for the control of one of the world's most damaging pest insects: locusts. Autonomous aerial robotic systems will be used to collect data on Australian plague locusts travelling in devastating migratory bands. These data on band movement and the behaviour of individual locusts within the band will ....Autonomous tracking and predictive modelling of Australian plague locust migratory band movement. We will use advances in robotics, engineering, mathematics and biology to develop a new computer model for the control of one of the world's most damaging pest insects: locusts. Autonomous aerial robotic systems will be used to collect data on Australian plague locusts travelling in devastating migratory bands. These data on band movement and the behaviour of individual locusts within the band will be used to develop a particle physics-inspired predictive model of migratory band movement, which will be used to optimise locust control operations. Economic, environmental and social benefits will arise through reductions in the amount of time, money, manpower and insecticides necessary to combat locust outbreaks.Read moreRead less
Coal-ash as a resource for sustainable soil-management in plant production systems. Acidification and salinisation are major causes of land degradation in Australia, costing $1-2 billion to combat. Farmers used 1.9M t of lime and 1.0M t of gypsum to manage their soils in 2000. Power stations annually produce 12M t of coal-ash that have functional characteristics of lime and gypsum and can potentially ameliorate degraded land. Presently only 43% of the ash is used and almost entirely for constr ....Coal-ash as a resource for sustainable soil-management in plant production systems. Acidification and salinisation are major causes of land degradation in Australia, costing $1-2 billion to combat. Farmers used 1.9M t of lime and 1.0M t of gypsum to manage their soils in 2000. Power stations annually produce 12M t of coal-ash that have functional characteristics of lime and gypsum and can potentially ameliorate degraded land. Presently only 43% of the ash is used and almost entirely for construction with the rest going into landfills. This project will determine the sustainable use of coal-ash to improve structure and nutritive properties of the soil and to raise crop yield across several sites in Australia.Read moreRead less